Triple
T28188332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KamLAND experiment |
E716234
|
entity |
| Predicate | receivesAntineutrinosFrom |
P168617
|
FINISHED |
| Object | multiple Japanese nuclear power plants |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: multiple Japanese nuclear power plants | Statement: [KamLAND experiment, receivesAntineutrinosFrom, multiple Japanese nuclear power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesAntineutrinosFrom Context triple: [KamLAND experiment, receivesAntineutrinosFrom, multiple Japanese nuclear power plants]
-
A.
detectedNeutrinoSource
Indicates that a particular source has been observed and identified as emitting detectable neutrinos.
-
B.
neutrinoBeamDestination
Indicates the target location or object toward which a neutrino beam is directed or intended to travel.
-
C.
neutrinoBurstDetected
Indicates that a sudden, significant increase in neutrino emissions has been observed or recorded.
-
D.
neutronDetectionReaction
Indicates a reaction in which neutrons are detected through their interaction with a target or detector material.
-
E.
neutrinoTargetMaterial
Indicates that a given material serves as the interaction or detection medium for neutrinos in an experiment or process.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 10:24 p.m.